Results 121 to 130 of about 27,805 (244)
Assessing the impact of model biases on subseasonal forecast skill
Relaxation experiments where the nudging was performed towards bias‐corrected integrations of the same model display significantly improved skill at weeks 3 and 4, particularly in the northern extratropics. This indicates that there is a large potential for improving dynamical subseasonal forecasting skill by improved treatment of model biases.
Frédéric Vitart, Magdalena Balmaseda
wiley +1 more source
Central hypocretin/orexin administration alleviates sleep/wake disturbances, anhedonia, and neuroinflammation in an animal model of seasonal affective disorder. [PDF]
Costello A +4 more
europepmc +1 more source
Seasonal Affective Disorder (SAD)
openaire +2 more sources
The predictability of western and eastern North Pacific blocking events is assessed using analogue‐based diagnostics. Eastern blocks exhibit lower predictability, characterized by faster error growth and higher mean logarithmic divergence rates. The study highlights geographical contrasts in blocking stability.
Anupama K. Xavier +3 more
wiley +1 more source
Effectiveness of visible light for seasonal affective disorder: A systematic review and network meta-analysis. [PDF]
Wan Y, Ding J, Fan M, Huang H.
europepmc +1 more source
Though many studies have shown potential benefit in assimilating all‐sky infrared radiances from geostationary satellites, at numerical weather prediction centres it is still common practice to assimilate clear‐sky radiances. We present the operationalization of the all‐sky assimilation of the spinning enhanced visible and infrared imager (SEVIRI ...
Annika Schomburg +5 more
wiley +1 more source
Evaluating the Impact of Age-Related Macular Degeneration on Seasonal Affective Disorder: A Retrospective Cohort Study in a Chinese Population. [PDF]
Yang W, Jia J, Liu X, Wan P.
europepmc +1 more source
The darkness and the light: diurnal rodent models for seasonal affective disorder.
Shankar A, Williams CT.
europepmc +1 more source
We quantified the causal effect (CE) of linkages between four monthly climate indices ENSO, SMHP, RWC, and MHC for 1940–2022 with a time lag of one month. The results show CE values from (1) ENSO to SMHP of −0.33$$ -0.33 $$ to −0.44$$ -0.44 $$ (i.e., a one standard deviation (SD) increase in ENSO causes a decrease in SMHP of −0.33$$ -0.33 $$ to −0.44$$
Grzegorz Muszynski +5 more
wiley +1 more source
This study investigates year‐round exceptionally poor and good day‐6 forecasts of the 500‐hPa geopotential height field over Europe using 45 years of ERA5 reforecasts and applies a weather regime perspective to analyse large‐scale pattern evolution and regime transitions.
Seraphine Hauser +4 more
wiley +1 more source

